agriReg-package         agriReg: Linear and Nonlinear Regression for
                        Agricultural Data
clean_agri_data         Clean and validate agricultural field-trial
                        data
compare_models          Compare multiple agriReg models side by side
ed_estimates            Compute effective dose (ED) estimates from a
                        dose-response model
fit_dose_response       Fit a log-logistic or Weibull dose-response
                        model
fit_linear              Fit a linear or mixed-effects model for
                        agricultural trials
fit_nonlinear           Fit a nonlinear growth or response curve to
                        agricultural data
fit_polynomial          Fit a sequence of polynomial linear models and
                        pick the best
gof_stats               Compute goodness-of-fit statistics for a model
herbicide_trial         Simulated herbicide dose-response dataset
load_example_data       Load a bundled agriReg example dataset
maize_growth            Simulated maize growth time-series
model_summary           Comprehensive model summary with fit statistics
optimum_dose            Find the optimal x value (e.g. economic optimum
                        dose)
outlier_flag            Flag outliers using multiple methods
plot.agriDRC            Plot a fitted dose-response curve
plot.agriLM             Plot diagnostics for an agriLM model
plot.agriNLS            Plot a fitted nonlinear curve over observed
                        data
plot_fit                A convenience wrapper for ggplot2 visualisation
                        of model fit
residual_check          Residual diagnostic plot panel
wheat_trial             Simulated wheat nitrogen-response trial
yield_normalize         Normalise yield values within groups
